Wearable emotion detection and feedback system
A see-through, head mounted display and sensing devices cooperating with the display detect audible and visual behaviors of a subject in a field of view of the device. A processing device communicating with display and the sensors monitors audible and visual behaviors of the subject by receiving data from the sensors. Emotional states are computed based on the behaviors and feedback provided to the wearer indicating computed emotional states of the subject. During interactions, the device, recognizes emotional states in subjects by comparing detected sensor input against a database of human/primate gestures/expressions, posture, and speech. Feedback is provided to the wearer after interpretation of the sensor input.
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This application is a continuation of U.S. patent application Ser. No. 14/675,296 filed Mar. 31, 2015, to issue as U.S. Pat. No. 9,508,008, which is a continuation of U.S. patent application Ser. No. 13/665,477, filed Oct. 31, 2012, issued as U.S. Pat. No. 9,019,174, which applications are incorporated herein by reference.
BACKGROUNDMixed reality is a technology that allows virtual imagery to be mixed with a real world physical environment in a display. Systems for mixed reality may include, for example, see through head mounted displays or smart phones with built in cameras. Such systems typically include processing units which provide the imagery under the control of one or more applications.
Emotions have an important influence in human lives, and can influence psychological and social behavior. Humans communicate their emotional state constantly through a variety of verbal and non-verbal behaviors. These expressions can include explicit signals such as smiles and frowns, laughing and crying, to subtle variations in speech rhythm, facial expressions, eye focus or body posture. The range of non-verbal and nonverbal behaviors that transmit information about personality and emotion is large. Emotional arousal affects a number of easily observed behaviors, including speech speed and amplitude, the size and speed of gestures, and some aspects of facial expression and posture. Extensive research has been conducted to correlate observable behaviors with detectable emotional states.
SUMMARYTechnology is described to provide an interpretation of emotional states of subjects within the field of view of a wearer of a see through head mounted display device. A variety of sensors on the display provide input data which is utilized to compute emotional states of subjects within a field of view. During an interaction, the device, recognizes emotional states in subjects by comparing, in real time, detected sensor input against a database of human/primate gestures/expressions, posture, and speech. Feedback is provided to the wearer after interpretation of the sensor input.
A see through head mounted display apparatus included a see-through, head mounted display and sensing devices cooperating with the display to detect audible and visual behaviors of a subject in a field of view of the device. A processing device communicating with display and the sensors monitors audible and visual behaviors of the subject by receiving data from the sensors. Emotional states are computed based on the behaviors and feedback provided to the wearer indicating computed emotional states of the subject.
This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
The technology described herein includes a see-through, head mounted display device providing a wearer with detected emotional feedback for interactions the wearer has with other parties within the user's field of view. During an interaction, the device, through a variety of sensors, scans and recognizes emotional states in subjects by comparing, in real time, detected sensor input against the database of human/primate gestures/expressions, posture, and speech. Feedback is provided to the wearer after interpretation of the sensor input. Feedback may comprise a combination of visual or audio feedback which helps the wearer identify positive, neutral, negative emotions in a subject in order facilitate changes in the course of an interaction. The targeted subject or group is constantly analyzed using the see through head mounted display partnered with an emotion detection engine to provide feedback to the wearer (e.g. Happy, interested, flirting, trusting, apprehensive, concerned, etc.). The wearer can then utilize the feedback to help facilitate successful interactions.
See through head mounted display device 2, which in one embodiment is in the shape of eyeglasses in a frame 115, is worn on the head of a wearer so that the wearer can see through a display, embodied in this example as a display optical system 14 for each eye, and thereby have an actual direct view of the space in front of the wearer. The use of the term “actual direct view” refers to the ability to see real world objects directly with the human eye, rather than seeing created image representations of the objects. For example, looking through glass at a room allows a wearer to have an actual direct view of the room, while viewing a video of a room on a television is not an actual direct view of the room. Based on the context of executing software, for example, a gaming application, the system can project images of virtual objects, sometimes referred to as virtual images or holograms, on the display that are viewable by the person wearing the see-through display device while that person is also viewing real world objects through the display.
Frame 115 provides a support for holding elements of the system in place as well as a conduit for electrical connections. In this embodiment, frame 115 provides a convenient eyeglass frame as support for the elements of the system discussed further below. In other embodiments, other support structures can be used. An example of such a structure is a visor, hat, helmet or goggles. The frame 115 includes a temple or side arm for resting on each of a wearer's ears. Temple 102 is representative of an embodiment of the right temple and includes control circuitry 136 for the display device 2. Nose bridge 104 of the frame includes a microphone 110 for recording sounds and transmitting audio data to processing unit 4.
One or more remote, network accessible computer system(s) 12 may be leveraged for processing power and remote data access. An example of hardware components of a computing system 12 is shown in
Additionally, in some embodiments, the applications executing on other see through head mounted display systems 10 in same environment or in communication with each other share data updates in real time, for example object identifications and occlusion data like an occlusion volume for a real object, in a peer-to-peer configuration between devices or to object management service executing in one or more network accessible computing systems.
The shared data in some examples may be referenced with respect to one or more referenced coordinate systems accessible to the device 2. In other examples, one head mounted display (HMD) device may receive data from another HMD device including image data or data derived from image data, position data for the sending HMD, e.g. GPS or IR data giving a relative position, and orientation data. An example of data shared between the HMDs is depth map data including image data and depth data captured by its front facing cameras 113, object identification data, and occlusion volumes for real objects in the depth map. The real objects may still be unidentified or have been recognized by software executing on the HMD device or a supporting computer system, e.g. 12 or another display system 10.
An example of an environment is a 360 degree visible portion of a real location in which the wearer is situated. A wearer may be looking at a subset of his environment which is his field of view. For example, a room is an environment. A person may be in a house and be in the kitchen looking at the top shelf of the refrigerator. The top shelf of the refrigerator is within his display field of view, the kitchen is his environment, but his upstairs bedroom is not part of his current environment as walls and a ceiling block his view of the upstairs bedroom. Of course, as he moves, his environment changes. Some other examples of an environment may be a ball field, a street location, a section of a store, a customer section of a coffee shop and the like. A location can include multiple environments, for example, the house may be a location. The wearer and his friends may be wearing their display device systems for playing a game which takes place throughout the house. As each player moves about the house, his environment changes. Similarly, a perimeter around several blocks may be a location and different intersections provide different environments to view as different cross streets come into view. In some instances, a location can also be an environment depending on the precision of location tracking sensors or data.
In the illustrated embodiment of
The axis 178 formed from the center 166 of rotation through the cornea center 164 to the pupil 162 is the optical axis of the eye. A gaze vector 180 is sometimes referred to as the line of sight or visual axis which extends from the fovea through the center of the pupil 162. The fovea is a small area of about 1.2 degrees located in the retina. The angular offset between the optical axis computed and the visual axis has horizontal and vertical components. The horizontal component is up to 5 degrees from the optical axis, and the vertical component is between 2 and 3 degrees. In many embodiments, the optical axis is determined and a small correction is determined through wearer calibration to obtain the visual axis which is selected as the gaze vector.
For each wearer, a virtual object may be displayed by the display device at each of a number of predetermined positions at different horizontal and vertical positions. An optical axis may be computed for each eye during display of the object at each position, and a ray modeled as extending from the position into the wearer eye. A gaze offset angle with horizontal and vertical components may be determined based on how the optical axis is to be moved to align with the modeled ray. From the different positions, an average gaze offset angle with horizontal or vertical components can be selected as the small correction to be applied to each computed optical axis. In some embodiments, a horizontal component is used for the gaze offset angle correction.
The gaze vectors 180l and 180r are not perfectly parallel as the vectors become closer together as they extend from the eyeball into the field of view at a point of gaze which is effectively at infinity as indicated by the symbols 181l and 181r. At each display optical system 14, the gaze vector 180 appears to intersect the optical axis upon which the sensor detection area 139 is centered. In this configuration, the optical axes are aligned with the inter-pupillary distance (IPD). When a wearer is looking straight ahead, the IPD measured is also referred to as the far IPD.
When identifying an object for a wearer to focus on for aligning IPD at a distance, the object may be aligned in a direction along each optical axis of each display optical system. Initially, the alignment between the optical axis and wearer's pupil is not known. For a far IPD, the direction may be straight ahead through the optical axis. When aligning near IPD, the identified object may be in a direction through the optical axis, however due to vergence of the eyes at close distances, the direction is not straight ahead although it may be centered between the optical axes of the display optical systems.
Techniques for automatically determining a wearer's IPD and automatically adjusting the STHMD to set the IPD for optimal wearer viewing, are discussed in co-pending U.S. patent application Ser. No. 13/221,739 entitled Gaze Detection In A See-Through, Near-Eye, Mixed Reality Display; U.S. patent application Ser. No. 13/221,707 entitled Adjustment Of A Mixed Reality Display For Inter-Pupillary Distance Alignment; and U.S. patent application Ser. No. 13/221,662 entitled Aligning Inter-Pupillary Distance In A Near-Eye Display System, all of which are hereby incorporated specifically by reference.
In general,
Some examples of electronically provided instructions are instructions displayed by the microdisplay 120, the processing unit 4 or audio instructions through speakers 130 of the display device 2. There may be device configurations with an automatic adjustment and a mechanical mechanism depending on wearer preference or for allowing a wearer some additional control.
In an exemplary display device 2, a detection area of at least one sensor is aligned with the optical axis of its respective display optical system so that the center of the detection area is capturing light along the optical axis. If the display optical system is aligned with the wearer's pupil, each detection area of the respective sensor is aligned with the wearer's pupil. Reflected light of the detection area is transferred via one or more optical elements to the actual image sensor of the camera in this example illustrated by dashed line as being inside the frame 115.
In one example, a visible light camera (also commonly referred to as an RGB camera) may be the sensor. An example of an optical element or light directing element is a visible light reflecting mirror which is partially transmissive and partially reflective. The visible light camera provides image data of the pupil of the wearer's eye, while IR photodetectors 152 capture glints which are reflections in the IR portion of the spectrum. If a visible light camera is used, reflections of virtual images may appear in the eye data captured by the camera. An image filtering technique may be used to remove the virtual image reflections if desired. An IR camera is not sensitive to the virtual image reflections on the eye.
In other examples, the at least one sensor is an IR camera or a position sensitive detector (PSD) to which the IR radiation may be directed. For example, a hot reflecting surface may transmit visible light but reflect IR radiation. The IR radiation reflected from the eye may be from incident radiation of illuminators, other IR illuminators (not shown) or from ambient IR radiation reflected off the eye. In some examples, sensor may be a combination of an RGB and an IR camera, and the light directing elements may include a visible light reflecting or diverting element and an IR radiation reflecting or diverting element. In some examples, a camera may be small, e.g. 2 millimeters (mm) by 2 mm.
Various types of gaze detection systems are suitable for use in the present system. In some embodiments which calculate a cornea center as part of determining a gaze vector, two glints, and therefore two illuminators will suffice. However, other embodiments may use additional glints in determining a pupil position and hence a gaze vector. As eye data representing the glints is repeatedly captured, for example at 30 frames a second or greater, data for one glint may be blocked by an eyelid or even an eyelash, but data may be gathered by a glint generated by another illuminator.
Control circuitry 136 provide various electronics that support the other components of head mounted display device 2. More details of control circuitry 136 are provided below with respect to
The display device 2 provides an image generation unit which can create one or more images including one or more virtual objects. In some embodiments a microdisplay may be used as the image generation unit. A microdisplay assembly 173 in this example comprises light processing elements and a variable focus adjuster 135. An example of a light processing element is a microdisplay 120. Other examples include one or more optical elements such as one or more lenses of a lens system 122 and one or more reflecting elements such as reflective elements 124a and 124b in
Mounted to or inside temple 102, the microdisplay 120 includes an image source and generates an image of a virtual object. The microdisplay 120 is optically aligned with the lens system 122 and the reflecting element 124 or reflecting elements 124a and 124b as illustrated in the following Figures. The optical alignment may be along an optical path 133 including one or more optical axes. The microdisplay 120 projects the image of the virtual object through lens system 122, which may direct the image light, onto reflecting element 124 which directs the light into lightguide optical element 112 as in
The variable focus adjuster 135 changes the displacement between one or more light processing elements in the optical path of the microdisplay assembly or an optical power of an element in the microdisplay assembly. The optical power of a lens is defined as the reciprocal of its focal length, e.g. 1/focal length, so a change in one effects the other. The change in focal length results in a change in the region of the field of view, e.g. a region at a certain distance, which is in focus for an image generated by the microdisplay assembly 173.
In one example of the microdisplay assembly 173 making displacement changes, the displacement changes are guided within an armature 137 supporting at least one light processing element such as the lens system 122 and the microdisplay 120 in this example. The armature 137 helps stabilize the alignment along the optical path 133 during physical movement of the elements to achieve a selected displacement or optical power. In some examples, the adjuster 135 may move one or more optical elements such as a lens in lens system 122 within the armature 137. In other examples, the armature may have grooves or space in the area around a light processing element so it slides over the element, for example, microdisplay 120, without moving the light processing element. Another element in the armature such as the lens system 122 is attached so that the system 122 or a lens within slides or moves with the moving armature 137. The displacement range is typically on the order of a few millimeters (mm). In one example, the range is 1-2 mm. In other examples, the armature 137 may provide support to the lens system 122 for focal adjustment techniques involving adjustment of other physical parameters than displacement. An example of such a parameter is polarization.
For more information on adjusting a focal distance of a microdisplay assembly, see U.S. patent Ser. No. 12/941,825 entitled “Automatic Variable Virtual Focus for Augmented Reality Displays,” filed Nov. 8, 2010, having inventors Avi Bar-Zeev and John Lewis and which is hereby incorporated by reference.
In one example, the adjuster 135 may be an actuator such as a piezoelectric motor. Other technologies for the actuator may also be used and some examples of such technologies are a voice coil formed of a coil and a permanent magnet, a magnetostriction element, and an electrostriction element.
There are different image generation technologies that can be used to implement microdisplay 120. For example, microdisplay 120 can be implemented using a transmissive projection technology where the light source is modulated by optically active material, backlit with white light. These technologies are usually implemented using LCD type displays with powerful backlights and high optical energy densities. Microdisplay 120 can also be implemented using a reflective technology for which external light is reflected and modulated by an optically active material. The illumination is forward lit by either a white source or RGB source, depending on the technology. Digital light processing (DLP), liquid crystal on silicon (LCOS) and Mirasol® display technology from Qualcomm, Inc. are all examples of reflective technologies which are efficient as most energy is reflected away from the modulated structure and may be used in the system described herein. Additionally, microdisplay 120 can be implemented using an emissive technology where light is generated by the display. For example, a PicoP™ engine from Microvision, Inc. emits a laser signal with a micro mirror steering either onto a tiny screen that acts as a transmissive element or beamed directly into the eye (e.g., laser).
The display optical system 14 in this embodiment has an optical axis 142 and includes a see-through lens 118 allowing the wearer an actual direct view of the real world. In this example, the see-through lens 118 is a standard lens used in eye glasses and can be made to any prescription (including no prescription). In another embodiment, see-through lens 118 can be replaced by a variable prescription lens. In some embodiments, see-through, near-eye display device 2 will include additional lenses.
The display optical system 14 further comprises reflecting reflective elements 124a and 124b. In this embodiment, light from the microdisplay 120 is directed along optical path 133 via a reflecting element 124a to a partially reflective element 124b embedded in lens 118 which combines the virtual object image view traveling along optical path 133 with the natural or actual direct view along the optical axis 142 so that the combined views are directed into a wearer's eye, right one in this example, at the optical axis, the position with the most collimated light for a clearest view.
A detection area of a light sensor is also part of the display optical system 14r. An optical element 125 embodies the detection area by capturing reflected light from the wearer's eye received along the optical axis 142 and directs the captured light to the sensor 134r, in this example positioned in the lens 118 within the inner frame 117r. As shown, the arrangement allows the detection area 139 of the sensor 134r to have its center aligned with the center of the display optical system 14. For example, if sensor 134r is an image sensor, sensor 134r captures the detection area 139, so an image captured at the image sensor is centered on the optical axis because the detection area 139 is. In one example, sensor 134r is a visible light camera or a combination of RGB/IR camera, and the optical element 125 includes an optical element which reflects visible light reflected from the wearer's eye, for example a partially reflective mirror.
In other embodiments, the sensor 134r is an IR sensitive device such as an IR camera, and the element 125 includes a hot reflecting surface which lets visible light pass through it and reflects IR radiation to the sensor 134r. An IR camera may capture not only glints, but also an infra-red or near infra-red image of the wearer's eye including the pupil.
In other embodiments, the IR sensor 134r is a position sensitive device (PSD), sometimes referred to as an optical position sensor. The depiction of the light directing elements, in this case reflecting elements, 125, 124, 124a and 124b in
As discussed in
In one embodiment, if the data captured by the sensor 134 indicates the pupil is not aligned with the optical axis, one or more processors in the processing unit 4 or the control circuitry 136 or both use a mapping criteria which correlates a distance or length measurement unit to a pixel or other discrete unit or area of the image for determining how far off the center of the pupil is from the optical axis 142. Based on the distance determined, the one or more processors determine adjustments of how much distance and in which direction the display optical system 14r is to be moved to align the optical axis 142 with the pupil. Control signals are applied by one or more display adjustment mechanism drivers 245 to each of the components, e.g. display adjustment mechanism 203, making up one or more display adjustment mechanisms 203. In the case of motors in this example, the motors move their shafts 205 to move the inner frame 117r in at least one direction indicated by the control signals. On the temple side of the inner frame 117r are flexible sections 215a, 215b of the frame 115 which are attached to the inner frame 117r at one end and slide within grooves 217a and 217b within the interior of the temple frame 115 to anchor the inner frame 117 to the frame 115 as the display optical system 14 is move in any of three directions for width, height or depth changes with respect to the respective pupil.
In addition to the sensor, the display optical system 14 includes other gaze detection elements. In this embodiment, attached to frame 117r on the sides of lens 118, are at least two (2) but may be more, infra-red (IR) illuminators 153 which direct narrow infra-red light beams within a particular wavelength range or about a predetermined wavelength at the wearer's eye to each generate a respective glint on a surface of the respective cornea. In other embodiments, the illuminators and any photodiodes may be on the lenses, for example at the corners or edges. In this embodiment, in addition to the at least 2 infra-red (IR) illuminators 153 are IR photodetectors 152. Each photodetector 152 is sensitive to IR radiation within the particular wavelength range of its corresponding IR illuminator 153 across the lens 118 and is positioned to detect a respective glint. As shown in
In
In this example, the display adjustment mechanism 203 in bridge 104 moves the display optical system 14r in a horizontal direction with respect to the wearer's eye as indicated by directional symbol 145. The flexible frame portions 215a and 215b slide within grooves 217a and 217b as the system 14 is moved. In this example, reflecting element 124a of a microdisplay assembly 173 embodiment is stationery. As the IPD is typically determined once and stored, any adjustment of the focal length between the microdisplay 120 and the reflecting element 124a that may be done may be accomplished by the microdisplay assembly, for example via adjustment of the microdisplay elements within the armature 137.
Lightguide optical element 112 transmits light from microdisplay 120 to the eye of the wearer wearing head mounted display device 2. Lightguide optical element 112 also allows light from in front of the head mounted display device 2 to be transmitted through lightguide optical element 112 to the wearer's eye thereby allowing the wearer to have an actual direct view of the space in front of head mounted display device 2 in addition to receiving a virtual image from microdisplay 120. Thus, the walls of lightguide optical element 112 are see-through. Lightguide optical element 112 includes a first reflecting element 124 (e.g., a mirror or other surface). Light from microdisplay 120 passes through lens system 122 and becomes incident on reflecting element 124. The reflecting element 124 reflects the incident light from the microdisplay 120 such that light is trapped inside a planar, substrate comprising lightguide optical element 112 by internal reflection.
After several reflections off the surfaces of the substrate, the trapped light waves reach an array of selectively reflecting surfaces 126. Note that only one of the five surfaces 126 to prevent over-crowding of the drawing. Reflecting surfaces 126 couple the light waves incident upon those reflecting surfaces out of the substrate into the eye of the wearer. More details of a lightguide optical element can be found in United States Patent Application Publication 2008/0285140, Ser. No. 12/214,366, published on Nov. 20, 2008, “Substrate-Guided Optical Devices” incorporated herein by reference in its entirety. In one embodiment, each eye will have its own lightguide optical element 112.
In the embodiments of
In the embodiments above, the specific number of lenses shown are just examples. Other numbers and configurations of lenses operating on the same principles may be used. Additionally, in the examples above, only the right side of the see-through, near-eye display device 2 are shown. A full near-eye, mixed reality display device would include as examples another set of lenses 116 and/or 118, another lightguide optical element 112 for the embodiments of
Note that some of the components of
Camera interface 216 provides an interface to the two physical environment facing cameras 113 and each eye sensor 134 and stores respective images received from the cameras 113, sensor 134 in camera buffer 218. Display driver 220 will drive microdisplay 120. Display formatter 222 may provide information, about the virtual image being displayed on microdisplay 120 to one or more processors of one or more computer systems, e.g. 4, 210 performing processing for the augmented reality system. Timing generator 226 is used to provide timing data for the system. Display out 228 is a buffer for providing images from physical environment facing cameras 113 and the eye sensors 134 to the processing unit 4. Display in 230 is a buffer for receiving images such as a virtual image to be displayed on microdisplay 120. Display out 228 and display in 230 communicate with band interface 232 which is an interface to processing unit 4.
Power management unit 202 includes voltage regulator 234, eye tracking illumination driver 236, variable adjuster driver 237, photodetector interface 239, audio DAC and amplifier 238, microphone preamplifier and audio ADC 240, temperature sensor interface 242, display adjustment mechanism driver(s) 245 and clock generator 244. Voltage regulator 234 receives power from processing unit 4 via band interface 232 and provides that power to the other components of head mounted display device 2. Illumination driver 236 controls, for example via a drive current or voltage, the illuminators 153 to operate about a predetermined wavelength or within a wavelength range. Audio DAC and amplifier 238 receives the audio information from earphones 130. Microphone preamplifier and audio ADC 240 provides an interface for microphone 110. Temperature sensor interface 242 is an interface for temperature sensor 138. One or more display adjustment drivers 245 provide control signals to one or more motors or other devices making up each display adjustment mechanism 203 which represent adjustment amounts of movement in at least one of three directions. Power management unit 202 also provides power and receives data back from three axis magnetometer 132A, three axis gyro 132B and three axis accelerometer 132C. Power management unit 202 also provides power and receives data back from and sends data to GPS transceiver 144. In one embodiment, a biometric sensor 140 including for example a heartbeat sensor may be provided.
The variable adjuster driver 237 provides a control signal, for example a drive current or a drive voltage, to the adjuster 135 to move one or more elements of the microdisplay assembly 173 to achieve a displacement for a focal region calculated by software executing in a processor 210 of the control circuitry 13, or the processing unit 4, or both. In embodiments of sweeping through a range of displacements and, hence, a range of focal regions, the variable adjuster driver 237 receives timing signals from the timing generator 226, or alternatively, the clock generator 244 to operate at a programmed rate or frequency.
The photodetector interface 239 performs any analog to digital conversion needed for voltage or current readings from each photodetector, stores the readings in a processor readable format in memory via the memory controller 212, and monitors the operation parameters of the photodetectors 152 such as temperature and wavelength accuracy.
In one embodiment, wireless communication component 346 can include a Wi-Fi enabled communication device, Bluetooth communication device, infrared communication device, etc. The USB port can be used to dock the processing unit 4 to a secondary computing device in order to load data or software onto processing unit 4, as well as charge processing unit 4. In one embodiment, CPU 320 and GPU 322 are the main workhorses for determining where, when and how to insert images into the view of the wearer.
Power management circuit 306 includes clock generator 360, analog to digital converter 362, battery charger 364, voltage regulator 366, see-through, near-eye display power interface 376, and temperature sensor interface 372 in communication with temperature sensor 374 (located on the wrist band of processing unit 4). An alternating current to digital converter 362 is connected to a charging jack 370 for receiving an AC supply and creating a DC supply for the system. Voltage regulator 366 is in communication with battery 368 for supplying power to the system. Battery charger 364 is used to charge battery 368 (via voltage regulator 366) upon receiving power from charging jack 370. Device power interface 376 provides power to the display device 2.
The system described above can be used to add virtual images to a wearer's view such that the virtual images are mixed with real images that the wearer see. In one example, the virtual images are added in a manner such that they appear to be part of the original scene. Examples of adding the virtual images can be found U.S. patent application Ser. No. 13/112,919, “Event Augmentation With Real-Time Information,” filed on May 20, 2011; and U.S. patent application Ser. No. 12/905,952, “Fusing Virtual Content Into Real Content,” filed on Oct. 15, 2010; both applications are incorporated herein by reference in their entirety.
To provide a mixed reality environment wherein virtual objects rendered by a display device interact with real objects in the field of view of a wearer, an object-centric tracking system is implemented. The object-centric tracking system uses a standard definition for each instance of a real world object and a rendered virtual object. This allows each processing unit 4 and computing system 12 to understand and process objects, both real and virtual, in a manner that is consistent across all devices and allows each rendering device to perform the calculations to render correct interactions between the objects in the field of view.
During an interaction between individuals 702 and 704, each device 2, worn by individuals 702 and 704 can interpret visual and audio input, interpret emotional states exhibited by other individuals within a wearer's field of view, and provide the wearer with feedback regarding the subject's emotional state. Gestures expressed by subject 706 such as raising the subject's arms and expressions on the user's face are detectable by the device 2. Each of these particular behaviors—audible, behavioral, and expression—can be processed by the technology herein and feedback provided to a wearer of device 2.
As shown in the embodiment of
Operating system 802 provides the underlying structure to allow hardware elements in the processing unit 4 to interact with the higher level functions of the functional components shown in
Eye tracking engine 804 tracks the wearer gaze with respect to movements of the eye relative to the device 2. Eye tracking engine 804 can identify the gaze direction or a point of gaze based on people position and eye movements and determine a command or request.
Image and audio processing engine 820 processes image data (e.g. video or image), depth and audio data received from one or more capture devices which may be available from the device. Image and depth information may come from outward facing sensors captured as the wearer moves his or her body.
Gesture recognition engine 806 can identify actions performed by a wearer indicating a control or command to an executing application 850a. The action may be performed by a body part of a wearer e.g. a hand or a finger, but also may include an eye blink sequence. In one embodiment, the gesture recognition engine 806 includes a collection of gesture filters, each comprising information concerning a gesture that may be performed by at least a part of a skeletal model. The gesture recognition engine 806 compares skeletal model and movements associated with it derived from the captured image added to gesture filters in a gesture library to identify when a wearer has performed one or more gestures. In some examples, matching an image data to image models of a wearer's hand or finger during a gesture may be used rather than skeletal tracking for recognizing gestures. Image and audio processing engine 820 processes image data depth and audio data received from one or more captured devices which might be available in a given location.
A 3D mapping of the display field of view of the augmented reality display device 2 can be determined by the scene mapping engine 808, based on captured image data and depth data for the display field of view. A depth map can represent the captured image data and depth data. A view dependent coordinate system may be used for mapping of the display field of view as how a collision between object appears to a wearer depends on the wearer's point of view. An example of the view dependent coordinate system is an X, Y, Z, coordinate system in which the Z-axis or depth axis extends orthogonally or as a normal from the front of a see through display device 2. At some examples, the image and depth data for the depth map are presented in the display field of view is received from cameras 113 on the front of display device 2. The display field of view may be determined remotely or using a set of environment data 854 which is previously provided based on a previous mapping using the scene mapping engine 808 or from environment data 880 in a mixed object reality service.
Visual rendering engine 828 renders elements in the wearer display, which can include instances of three dimensional holographic virtual objects, two dimensional images, colors and other information within the display of a display device 2. Visual rendering engine 828 works in conjunction with application 850a to render elements in a display.
An audio recognition and rendering engine 862 interprets input from audio inputs such as microphone 110.
Application 850a provides a wearer with feedback concerning interactions with subjects or groups of people within the field of view of the wearer. Application 850a includes audio analysis component 852, posture and gesture analysis component 854, expression analysis 856, biometric input analysis 858 and local history store 860. Audio analysis component 852 receives input from sensors on device 2 including microphone 110 for use in determining emotional states of parties in the wearer field of view. Audio recognition and rendering engine 862 provides linguistic analysis of audio input as described herein. In one aspect, audio analysis is provided by application 850a using data provided by sensors on device 2. In other embodiments, analysis is performed in conjunction with application 850b running in a network connected analysis and feedback service 870.
Each of the audio analysis component 852, posture/gesture analysis component 854, expression analysis component 856, and biometric analysis component 858 cooperate to provide an indication of an emotional state of a subject who may be within the field of view of a wearer of a see through head mounted display 2. The accuracy of the determination of an emotional state of a subject interacting with or observed by a wearer may depend on the input factors analyzed and the processing power of processing unit 4. In addition, a local history of detected interactions referenced by subject may be retained in a local history store 860.
Each of the analysis components matches recognized inputs (visual or audible) to an interpretation of that input relative to a behavior action database 859. Each of the individual components 852, 854, 856, and 858 isolates and recognizes a behavior which can be compared to a corresponding emotional state in database 859. As each interaction will have multiple recognized behaviors occurring simultaneously, the analysis application 850a weighs any combination of inputs and associated behaviors at a given time and derives a conclusion about an emotional state to report feedback on given the inputs. A local history store 860 records each interpretation for the current interaction, and in one embodiment, past interactions with identified subjects. The local history of an interaction can be included in determining an emotional state of current input behaviors.
Determination of emotional states can include analysis of audible and visual inputs. Audible inputs can include expression, speech and word analysis, word choice and syntactic framing of utterances, and speech pace, rhythm, and pitch contour all provide indications of an observed subject's emotional state. In addition, a subject's gestures, expressions, and body language all reflect emotional state.
User profile data 868 may include information on the wearer, including past detected emotional states of the wearer, other subjects with whom the wearer may have chosen to share emotional determinations made by a device 2 worn by the wearer, and past histories of subjects with whom the wearer has interacted.
Wearer profile data 858 includes wearer specific information such as wearer specific objects, and preferences associated with one or more wearers of the device.
Analysis and feedback service 870 similarly includes an analysis application 850b and a behavior action database 880. In one embodiment, the service 870 can provide additional processing capability to any processing unit 4 to allow a greater number of inputs and additional input factors to be considered in a behavioral analysis.
Service 870 includes a user communication and sharing component 874 allowing one or more devices 2 to connect to the service via a network 50. Service 870 can store a plurality of user profiles 876, user history 872 and interaction histories 882 for wearers who avail themselves of the service.
A user sharing and communication component 874 may also allow users to share interaction interpretations made by their device with other users, or provide additional input (such as for example biometric data) to other devices for interpretation. As discussed below, such sharing is based on use of authentication and wearer-defined permissions indicating the specific types of input and information which may be shared and with whom such sharing may occur. Such sharing may be managed by the communication and sharing component 874 or in a peer to peer setting by a sharing component on each processing unit 4.
Method 900 may be performed by an application 850a, application 850b or a combination of the applications. Alternatively, the analysis step 916 discussed below may be supplemented or performed by the service 870.
Initially, at step 902, a wearer may be provided with the opportunity to select a social situation or scenario that the wearer wishes to acquire feedback about. Two exemplary choices of scenarios may include a social situation or a business situation. In the analysis of emotional feedback from subjects within the wearer's field of view, actions may mean different things on the part of the subject. For example, if a subject plays with her hair in a social situation, such as a date, this behavior may indicate friendliness or interest. However, the same behavior in a business situation may indicate boredom. If a wearer opts to select a scenario at 902, then the technology alters the interpretation behaviors at 903 which assigned to the audible and visual actions it perceives in a particular scenario. This can indicate a bias toward different types of results for different types of actions, such as the twirling of one's hair as discussed above. If the wearer does not select a particular scenario at 902, then a default set of baseline interactions is used at 904.
Each of the baseline interactions and the specific social interactions are a set of interpretive responses to audio and visual inputs as characterized by the components of the analysis application 850a/850b.
At 906, the wearer's location, orientation, and gaze are determined. The location may be a geographical location, or a known location such as the wearer's home or the wearer's place of business. The factors such as the wearer's location can influence the determination of the types of interactions which are being engaged in, as well as the bias in determining whether a particular emotion is being expressed or not. The initial orientation and gaze allow the determination of which other subjects might be within the wearer's field of view at 908. At 908, a determination is made of which parties in the wearer's view should be analyzed. In one embodiment, a wearer may select feedback for specifically identified subjects, while in another embodiment an automatic determination of subjects is made. A manual determination can include specifically identifying known subjects for whom the wearer has interacted in the past, and retrieving the subject's history from a database of stored interactions. This can improve the detection of the emotional feedback provided by the technology. In alternative scenarios, subjects are identified in a manner to distinguish subject from other subjects, so that feedback for each of the subjects being tracked can be maintained. Where a group of subjects is within the wearer's field of view, a wearer may select to receive feedback from only one subject, the group, or a subset of the group within the wearer's field of view.
It should be understood that variation in subjects can be selected by the wearer's gaze. As noted above, a display device 2 includes the ability to detect the target of a wearer's gaze which can include the subject with whom a wearer is focused. Analysis of subjects can be selected by wearer gaze and can changed based on the gaze of a wearer.
In one embodiment, the storage of user interactions is not a strict recording of image and audio data, but rather interaction semantics relating user actions to detected responses, without storing specifics. For example, a history might include a reference to a particular word or wearer gesture that consistently generates a particular gesture or response by the subject. For example, whenever the wearer mentions the word “marriage”, the subject is detected to be looking down.
In one embodiment, this information can be collected and presented to the user via in interface (in device 2 or another interface) allowing the wearer to study the interactions and learn from them.
Steps 912 through 920 represent a loop where—for inputs received regarding the wearer's orientation, gaze, audio input and location at 912 and for each analyzed wearer at 914—an emotional determination analysis is performed at 916 to allow the system to provide feedback to the wearer of the device. Once the determination is made at 916, feedback is provided at 918 and, optionally, in 920, the context and feedback of the interaction can be stored. Feedback is provided continuously as the wearer participates in various interactions with subjects within the field of view. Inputs from the device 2 are received at 912 continuously. Steps 914-918 may be performed continuously, at intervals determined by changes in the input, or at timed intervals. For example, interaction input may determine only when major changes in an analyzed subject's emotional state occur, and provide feedback only on such major changes.
Emotional states are communicated through a variety of nonverbal and verbal behaviors. While people are generally sensitive to signals produced by others, some people do not pick upon these signals. The range of linguistic and nonlinguistic behaviors that transmit information is exceedingly large. One's emotional arousal, whether one is excited or calm, affects a number of easily observed behaviors including speech speed and amplitude, the size and speed of gestures, and aspects of facial expression, posture and gestures. One method of communicating emotional state is by choosing among semantically equivalent but emotionally diverse paraphrases. For example, simply saying “yes” can be stated as “yes”, “yeah”, “I think so”, “absolutely”, “I guess so”, or “for sure.” Each of these particular types of paraphrases can be related to a particular emotional state illustrated in
In
At 1102, a wearer is presented with a selection of various scenarios for feedback. The scenarios may include “social situation” 1104, “business situation” 1108 or specific situations 1112 which may be for example “party”, “wedding”, “meeting”, “presentation” and the like. For each type of setting, emotional interaction biases toward evaluation of particular behaviors responsive to the inputs are applied 1106, 1110 and 1114. If no specific scenario is selected, the wearer may be presented with an interface to allow the wearer to select a tradeoff between providing greater speed or frequency of feedback versus the accuracy and detail of feedback at 1116. Given the number of different behaviors that are interpreted by the emotion detection application, a tradeoff can be made between providing feedback on a more limited set of behaviors but with a quicker response, versus processing a greater set of inputs to provide a more detailed response. The response at step 1116 can also enable reference to the analysis and feedback service 870 by allowing more processing to occur by application 850B rather than at the local processing on application 850A.
At 1402, a see though head mounted display device may connect to the network 50 illustrated in
At 1414, the service accesses device data received in steps 1406, 1406 and 1408, and accesses wearer profile for historical information at 1418. At 1420, profile information for those subjects within the wearer's field of view is accessed at 1420 if such information is available. At 1422, emotional data based on past experience with individual wearers between the wearer of the device and such subject is filtered as indicated in the wearer profile. At 1424, the analysis (application 850B) on the service can be run with additional information known on the by the service. Optionally, at 1428, additional information can be retrieved from the wearer and looped through the analysis engine at 1424. At 1430, updated emotional information analyzed by the service 870 is forwarded to the local processing device and at 1432 the appropriate interface to provide the updated data to the wearer is presented. In this context, at step 1432, this can include updating an originally analyzed situation with new information. For example, if a local analysis is determined that crying means an subject within the wearer's field of view is sad, but the service has determined that the subject regularly cries and therefore crying, given all the other input factors, does not mean that the wearer is sad, this can be overridden and feedback provided to the wearer in one of any of the contexts set forth in
In
A method for sharing data is illustrated in
Mobile device 2000 may include, for example, processors 2012, memory 2050 including applications and non-volatile storage. The processor 2012 can implement communications, as well as any number of applications, including the interaction applications discussed herein. Memory 2050 can be any variety of memory storage media types, including non-volatile and volatile memory. A device operating system handles the different operations of the mobile device 2000 and may contain wearer interfaces for operations, such as placing and receiving phone calls, text messaging, checking voicemail, and the like. The applications 2030 can be any assortment of programs, such as a camera application for photos and/or videos, an address book, a calendar application, a media player, an Internet browser, games, other multimedia applications, an alarm application, other third party applications, the interaction application discussed herein, and the like. The non-volatile storage component 2040 in memory 2010 contains data such as web caches, music, photos, contact data, scheduling data, and other files.
The processor 2012 also communicates with RF transmit/receive circuitry 2006 which in turn is coupled to an antenna 2002, with an infrared transmitted/receiver 2008, with any additional communication channels 2060 like Wi-Fi or Bluetooth, and with a movement/orientation sensor 2014 such as an accelerometer. Accelerometers have been incorporated into mobile devices to enable such applications as intelligent wearer interfaces that let wearers input commands through gestures, indoor GPS functionality which calculates the movement and direction of the device after contact is broken with a GPS satellite, and to detect the orientation of the device and automatically change the display from portrait to landscape when the phone is rotated. An accelerometer can be provided, e.g., by a micro-electromechanical system (MEMS) which is a tiny mechanical device (of micrometer dimensions) built onto a semiconductor chip. Acceleration direction, as well as orientation, vibration and shock can be sensed. The processor 2012 further communicates with a ringer/vibrator 2016, a wearer interface keypad/screen, biometric sensor system 2018, a speaker 2020, a microphone 2022, a camera 2024, a light sensor 2026 and a temperature sensor 2028.
The processor 2012 controls transmission and reception of wireless signals. During a transmission mode, the processor 2012 provides a voice signal from microphone 2022, or other data signal, to the RF transmit/receive circuitry 2006. The transmit/receive circuitry 2006 transmits the signal to a remote station (e.g., a fixed station, operator, other cellular phones, etc.) for communication through the antenna 2002. The ringer/vibrator 2016 is used to signal an incoming call, text message, calendar reminder, alarm clock reminder, or other notification to the wearer. During a receiving mode, the transmit/receive circuitry 2006 receives a voice or other data signal from a remote station through the antenna 2002. A received voice signal is provided to the speaker 2020 while other received data signals are also processed appropriately.
Additionally, a physical connector 2088 can be used to connect the mobile device 2000 to an external power source, such as an AC adapter or powered docking station. The physical connector 2088 can also be used as a data connection to a computing device. The data connection allows for operations such as synchronizing mobile device data with the computing data on another device.
A GPS transceiver 2065 utilizing satellite-based radio navigation to relay the position of the wearer applications is enabled for such service.
Device 2100 may also contain communications connection(s) 2112 such as one or more network interfaces and transceivers that allow the device to communicate with other devices. Device 2100 may also have input device(s) 2114 such as keyboard, mouse, pen, voice input device, touch input device, etc. Output device(s) 2116 such as a display, speakers, printer, etc. may also be included. All these devices are well known in the art and are not discussed at length here.
The example computer systems illustrated in the figures include examples of computer readable storage devices. A computer readable storage device is also a processor readable storage device. Such devices may include volatile and nonvolatile, removable and non-removable memory devices implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Some examples of processor or computer readable storage devices are RAM, ROM, EEPROM, cache, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, memory sticks or cards, magnetic cassettes, magnetic tape, a media drive, a hard disk, magnetic disk storage or other magnetic storage devices, or any other device which can be used to store the desired information and which can be accessed by a computer
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims
1. A see through head mounted display apparatus, comprising:
- a see-through, head mounted display;
- a plurality of sensors cooperating with the see-through, head mounted display to detect at least one of audible and visual behaviors of a subject in a field of view of the apparatus; and
- one or more processing devices in communication with the see-through, head mounted display and the sensors, the one or more processing devices:
- monitor the at least one of audible and visual behaviors of the subject by receiving data from the sensors;
- receive supplemental data relating to an emotional state of the subject from a second see-through, head mounted display also monitoring at least one of audible and visual behaviors of the subject;
- compute an emotional state of the subject based on the at least one of audible and visual behaviors monitored by see-through, head mounted display device and the supplemental data received from the second see-through, head mounted display; and
- provide at least one of audible and visible feedback to a computing device indicating computed emotional states of the subject.
2. The apparatus of claim 1 wherein to compute an emotional state, the one or more processing devices:
- recognize emitted characteristics of the subject comprising each one of an emitted posture, expression, gesture, audible expression and word from the subject in the input from the sensors and compare the posture, expression, gesture, audible expression and word to a set of emotional states associated with any one or more similar posture, expression, gesture, audible expression and word.
3. The apparatus of claim 2 wherein the one or more processing devices store computed emotional states based on the characteristics relative to recognized audible and visual sensor data for each subject identified.
4. The apparatus of claim 3 wherein the one or more processing devices compute the emotional state of a subject by identifying the subject, retrieving emotional states stored relative to the subject, and comparing recognized audible and visual sensor data to a set of associated emotional states represented by the behaviors exhibited in the behaviors and the computed emotional states stored relative to the subject.
5. The apparatus of claim 1 wherein the one or more processors identify one or more subjects as an unknown subject, determine that no stored emotional state data exists for the unknown subject, and compute emotional states for each unknown subject, and associate the computed emotional states with each unknown subject thereby creating a known subject.
6. The apparatus of claim 1 wherein the one or more processors prompt a wearer of the display for identification of the subjects and are operable to receiving identification of the subjects.
7. The apparatus of claim 1 wherein the one or more processors are operable to determine the emotional state based on scenario information.
8. The apparatus of claim 7 wherein the scenario information is determined by providing the user with a selection of scenarios and receiving a selection of the scenarios.
9. The apparatus of claim 1 further including a communications interface connecting the apparatus to an analysis and feedback service, the interface operable to output sensor data to the service, the interface operable to receive computed emotional states for identified individuals from the service.
10. The apparatus of claim 1, wherein the computing device receiving the feedback is the head mounted display device.
11. The apparatus of claim 1, wherein the computing device receiving the feedback is a computing device remote from the head mounted display device.
12. A computer storage device including instructions operable on a processing device to perform a method comprising the steps of:
- receiving input from a plurality of sensors mounted on a see through head mounted display device, the sensors operable to detect at least one of audible and visual actions of one or more subjects in a field of view of the see through head mounted display device;
- computing an emotional state of the subject based on the at least one of audible and visual actions, the computing including determining for each of the one or more subjects whether the one or more subjects is a known subject having historical emotional state data and if so, computing the emotional state based at least in part on the emotional historical state data and if not, computing the emotional state data based on unknown subject data, wherein the historical emotional state data comprises emotional state data captured at an earlier time and stored for later use; and
- providing at least one of audible and visible feedback to a computing device indicating computed emotional states of the subject.
13. The computer storage device of claim 12 wherein recognizing a behavior comprising any of one of a posture, expression, gesture, audible expression or word in the input from the sensors and comparing posture, expression, gesture, audible expression or word to a set of associated emotional states represented by the behavior to determine a likely emotional state.
14. The computer storage device of claim 12 wherein the instructions further include providing the wearer with a selection of a social scenario, the selection of the social scenario biasing the comparing of the posture, expression, gesture, audible expression or word to associated emotional states.
15. The computer storage device of claim 12 wherein the instructions further include storing computed emotional states indexed to recognized posture, expression, gesture, audible expression or word data for each subject during an interaction.
16. The computer storage device of claim 12 wherein the steps of receiving, continually computing and providing feedback are repeated in sequence in real time.
17. The computer storage device of claim 12, wherein the computing device to which the feedback is provided is the head mounted display device.
18. The computer storage device of claim 12, wherein the computing device to which the feedback is provided is a computing device remote from the head mounted display device.
19. A method for providing emotional state feedback of subjects in a field of view of a see through head mounted display system, comprising:
- determining an environment and orientation of the system, the system includes a plurality of sensors and a see-through display device;
- identifying a crowd of subjects in the field of view;
- receiving input from the plurality of sensors mounted on the see through head mounted display device;
- recognizing actions of the crowd of subjects comprising any of one or more of a posture, expression, gesture, audible expression and words in the input for the subjects in the crowd of subject from the sensors and comparing recognized actions to a set of emotional states determined based on recognized actions performed in combination with each other;
- computing an emotional state for the crowd of subjects as a whole based on the recognized actions; and
- providing feedback to a computing device indicating emotional state of the crowd of subjects.
20. The method of claim 19 further including determining a social scenario based on the environment, location and orientation of the system and wherein the set of emotional states is determined relative to the social scenario.
21. The method of claim 20 wherein providing feedback includes rendering in the display one of: a specific indication of an emotional state including a visual representation specifying the state, or a positive or negative general indication of a change in emotional state based on tinting the display.
22. The method of claim 21 further including outputting sensor data to an analysis and feedback service and receiving computed emotional states based on the data from the service.
23. The method of claim 19, wherein the step of providing feedback to a computing device comprises the step of providing feedback to the head mounted display device.
24. The method of claim 19, wherein the step of providing feedback to a computing device comprises the step of providing feedback to a computing device remote from the head mounted display device.
| 6417969 | July 9, 2002 | DeLuca et al. |
| 7038699 | May 2, 2006 | Sato et al. |
| 7124425 | October 17, 2006 | Anderson, Jr. et al. |
| 7199301 | April 3, 2007 | Prittwitz |
| 7308112 | December 11, 2007 | Fujimura et al. |
| 7372451 | May 13, 2008 | Dempski |
| 7587747 | September 8, 2009 | Maguire, Jr. |
| 7632187 | December 15, 2009 | Farley et al. |
| 7860705 | December 28, 2010 | Afify et al. |
| 8188880 | May 29, 2012 | Chi et al. |
| 8223088 | July 17, 2012 | Gomez et al. |
| 8468149 | June 18, 2013 | Lung et al. |
| 20030133599 | July 17, 2003 | Tian et al. |
| 20040210444 | October 21, 2004 | Arenburg et al. |
| 20050038662 | February 17, 2005 | Sarich et al. |
| 20050060365 | March 17, 2005 | Robinson et al. |
| 20060009702 | January 12, 2006 | Iwaki et al. |
| 20060105838 | May 18, 2006 | Mullen |
| 20060149558 | July 6, 2006 | Kahn et al. |
| 20060206310 | September 14, 2006 | Ravikumar et al. |
| 20080002262 | January 3, 2008 | Chirieleison |
| 20080055194 | March 6, 2008 | Baudino et al. |
| 20080133336 | June 5, 2008 | Altman et al. |
| 20080221862 | September 11, 2008 | Guo et al. |
| 20080243473 | October 2, 2008 | Boyd et al. |
| 20090048820 | February 19, 2009 | Buccella |
| 20090293012 | November 26, 2009 | Alter et al. |
| 20100079356 | April 1, 2010 | Hoellwarth |
| 20100103196 | April 29, 2010 | Kumar et al. |
| 20100153389 | June 17, 2010 | Angell et al. |
| 20100238161 | September 23, 2010 | Varga et al. |
| 20100318360 | December 16, 2010 | Uehara |
| 20100328492 | December 30, 2010 | Fedorovskaya et al. |
| 20110018903 | January 27, 2011 | Lapstun et al. |
| 20110040155 | February 17, 2011 | Guzak et al. |
| 20110161875 | June 30, 2011 | Kankainen |
| 20110221656 | September 15, 2011 | Haddick et al. |
| 20110310120 | December 22, 2011 | Narayanan |
| 20120075168 | March 29, 2012 | Osterhout et al. |
| 20120092328 | April 19, 2012 | Flaks et al. |
| 20120143693 | June 7, 2012 | Chung et al. |
| 20130038510 | February 14, 2013 | Brin et al. |
| 20130044042 | February 21, 2013 | Olsson et al. |
| 20130095460 | April 18, 2013 | Bishop |
| 20130124185 | May 16, 2013 | Sarr et al. |
| 20130293577 | November 7, 2013 | Perez |
| 20140118225 | May 1, 2014 | Jerauld |
| 2750287 | November 2011 | CA |
| 10-123450 | May 1998 | JP |
| 2011158010 | December 2011 | WO |
| 2012/158047 | November 2012 | WO |
- Response to Office Action filed Jan. 6, 2016 in U.S. Appl. No. 13/464,945, 10 pages.
- Final Office Action dated Mar. 22, 2016 in U.S. Appl. No. 13/464,945, 48 pages.
- Response to Office Action filed Sep. 23, 2015 in U.S. Appl. No. 13/464,945.
- Office Action dated Oct. 6, 2015 in U.S. Appl. No. 13/464,945.
- Intl Prel Report on Patentability dated May 6, 2015 in PCT Appln No. PCT/US2013/067853.
- Response to Office Action filed May 18, 2015 in U.S. Appl. No. 13/464,945.
- Final Office Action dated Jul. 7, 2015 in U.S. Appl. No. 13/464,945.
- Poupyrev et al., “Developing a Generic Augmented Reality Interface,” In Proceedings of Computer, vol. 35, Issue 3, Mar. 2002, pp. 44-50.
- Zhu et al., “Personalized In-store E-Commerce with the PromoPad: An Augmented . . . ” In Proc. of Electronic Journal for E-commerce Tools and Appin vol. 1, Issue 3, 2004, 19 pgs.
- Bajura, et al., “Merging Virtual Objects with the Real World: Seeing . . . ,” In Proc of 19th Annual Conf on Comp. Graphics and Inter. Tech., vol. 26 Issue 2, Jul. 1992, pp. 203-210.
- Ajanki, et al., “Ubiquitous Contextual Info. Access with Proactive Retrieval and Augmentation,” In Proc. of 4th Intl Workshop on Ubiquitous Virt. Reality, Mar. 8, 2010, 5 pgs.
- Katz, Leslie, “Tele Scouter Sends Transl. Right to your Retina,” Published on Nov. 2, 2009, Available at: http://news.cnet.com/8301-17938—105-10388668-1.html?tag=mncol;txt.
- Cowper, et al., “Improving Our View of the World: Police and Augmented Reality Technology,” In Federal Bureau of Investiation, 2003, 68 pgs.
- Nilsson, et al., “Hands Free Interaction with Virtual Info. in a Real Environment: Eye Gaze as an Interaction . . . ” In Jour. of PsychNology, vol. 7, Issue 2, 2009, pp. 175-196.
- Van Krevelen et al., “A Survey of Augmented Reality Technologies, Applns and Limitations,” The Intl Jour. of Virtual Reality, vol. 9, Issue 2, Jun. 2010, pp. 1-20.
- Kato et al., “Marker Tracking and HMD Calibration for a Video-based Augmented . . . ,” In Proc. of the 2nd IEEE and ACM Intl Wrksp on Augmented Reality, Oct. 20-21, 1999, pp. 85-94.
- Peternier et al., “Chloe@Univ.: An Indoors, HMD-based Mobile . . . ,” retrieved on: Nov. 14, 2011, avail at http://infoscience.epfi.ch/record/116211/files/Chlo—VRST07—FINAL.pdf.
- “EON Coliseum,” retrieved on Nov. 14, 2011, available at: http://www.eonexperience.com/Coliseum.aspx.
- Reitmayr, et al., “Collaborative Augmented Reality for Outdoor Navi and Info Browsing,” In Proc. of the Symp on Location Based Services and TeleCartography, 2004, 11 pgs.
- Fuhrman, et al., “Concept and Implementation of a Collaborative Workspace for Augmented Reality,” In Vienna Univ of Tech, vol. 18, Issue 3, 1999, 11 pgs.
- U.S. Appl. No. 13/464,945, filed May 4, 2012.
- Intl. Search Report and Written Opinion dated Jun. 18, 2014, Intl Appln No. PCT/US2013/067853.
- Amendment dated Oct. 8, 2014, in U.S. Appl. No. 13/464,945.
- Office Action dated Oct. 22, 2014, in U.S. Appl. No. 13/464,945.
- Office Action dated May 8, 2014 in U.S. Appl. No. 13/464,945.
- Intl Search Report and Written Opinion dated Aug. 1, 2013, Intl Appln No. PCT/US2013/039431.
- English Abstract of JP Publication No. JPH10-123450 published on May 15, 1998.
- Lee, et al., “Combining Context-Awareness with Wearable Comp for Emotion-based Contents Service,” In Proc of Intl Jour of Adv Sci and Tech, vol. 22, Sep. 2010, pp. 12.
- Mura, Gokhan, “Wearable Tech for Emotion Comm,” retrieved on Jun. 26, 2012, available at: http://jfa.arch.metu.edu.tr/archive/0258-5316/2008/cilt25/sayi—1/153-161.pdf.
- Harrison, et al., “Using Multi-modal Sensing for Human Activity Modeling in . . . ,” retrieved on Jun. 26, 2012, avail at: http://cs.gmu.edu/-jpsousa/classes/895/readings/0463.pdf.
- Ball et al., “Emotion and Personality in a Conversational Character,” retrieved on Jun. 26, 2012, avail at: http://research.microsoft.com/pubs/68709/wecc-98.doc.
- “Meeting Georgios Papastefanou at the WT Conf 2012” rtrvd on Jun. 26, 2012, avail at http://www.wearable-technologies.com/meeting-georgios-papastefanou-at-the-wtconference-2012.
- Notice of Allowance and Fees Due dated Dec. 31, 2014 in U.S. Appl. No. 13/665,477.
- Amendment filed Sep. 9, 2014 in U.S. Appl. No. 13/665,477.
- Non-Final Rejection mailed May 9, 2014 in U.S. Appl. No. 13/665,477.
- Amendment dated Jan. 15, 2015, in U.S. Appl. No. 13/464,945.
- Office Action dated Feb. 17, 2015 in U.S. Appl. No. 13/464,945.
- Notice of Allowance and Fees Due dated Jul. 27, 2016 in U.S. Appl. No. 14/675,296.
- Non-Final Rejection mailed Aug. 14, 2015 in U.S. Appl. No. 14/675,296.
- Final Rejection mailed Feb. 22, 2016 in U.S. Appl. No. 14/675,296.
- Response to Office Action dated May 10, 2016 in U.S. Appl. No. 14/675,296.
- Response to Office Action dated Nov. 16, 2015 in U.S. Appl. No. 14/675,296.
Type: Grant
Filed: Nov 29, 2016
Date of Patent: Nov 21, 2017
Patent Publication Number: 20170117005
Assignee: MICROSOFT TECHNOLOGIES LICENSING, LLC (Redmond, WA)
Inventor: Robert Jerauld (Kirkland, WA)
Primary Examiner: Michael Pervan
Application Number: 15/364,037
International Classification: G06K 9/00 (20060101); G10L 25/63 (20130101); G06F 1/16 (20060101); G06F 3/0482 (20130101); G02B 27/01 (20060101); A61B 5/16 (20060101); A61B 5/00 (20060101);
